Company Filing History:
Years Active: 2018-2019
Title: Hwi Dong Na: Innovator in Translation Technology
Introduction: Hwi Dong Na is an inventive mind based in Suwon-si, South Korea, known for his contributions to the field of translation technology. With a total of two patents to his name, his innovative work focuses on enhancing automatic translation systems through advanced models.
Latest Patents: Hwi Dong Na's recent patents showcase his expertise in generating translation models and improving speech recognition. One of his significant inventions is an "Apparatus and method for generating translation model," which includes a learning data collector designed to gather original texts, texts with errors, and their corresponding translations. This system enables a neural network to learn from the collected data, facilitating simultaneous error correction and translation generation. His other patent, "Apparatus and method for normalizing input data of acoustic model and speech recognition apparatus," provides a mechanism to extract frame data for recognition while ensuring it is normalized for accurate processing in acoustic models.
Career Highlights: Hwi Dong Na is currently employed at Samsung Electronics Co., Ltd., where he applies his innovative skills to advance technology in communication and translation. His contributions are pivotal in the development of systems that not only improve translation accuracy but also enhance the efficiency of speech recognition technologies.
Collaborations: Throughout his career, Hwi Dong Na has collaborated with notable colleagues, including In Chul Song and Young Sang Choi, who have worked alongside him to push the boundaries of technology in their respective fields.
Conclusion: Hwi Dong Na represents a significant figure in the realm of innovation related to translation technologies. His patents reflect a commitment to improving the ways in which we communicate across languages. As technology continues to evolve, his work at Samsung Electronics Co., Ltd. will likely play a crucial role in shaping the future of automatic translation and speech recognition systems.